4th Question:
Why have you not posted this on the R-sig-mixed-models list, where it
clearly belongs, rather than here?
-- Bert
On Sat, Dec 29, 2012 at 12:47 PM, Diego Pujoni wrote:
> Dear colleagues,
>
> I have a data from a repeated measures design that I'm analysing through a
> mixed model. N
Hello there,
I'm trying to plot vectors with p<0.1 in a NMDS ordination plot using p.max.
Below the scripts I'm using. I guess I'm missing something! could you please
give me a hand?
species<-metaMDS(species_matrix)ef<-envfit(species,environmentaldata_file,permu=999,na.rm=TRUE)efplot(species,
d
Ron,
I hope this will be helpful.
require(lubridate, quietly = TRUE)
require(stringr, quietly = TRUE)
test_date_str1 <- "6/3/2012"
test_date_1 <- mdy(test_date_str1, quiet = TRUE)
test_date_1
test_date_str2 <- "2-3-2011"
my_date_strings <- c(test_date_str1, test_date_str2)
my_dates <- mdy(my_date
HI,
Tx for the fast method.
dim(Rt)
#b
#2
dim(X)
#[1] 2 5
Is it possible to obtain the same result as X without converting X to R?
According to OP ". which will give me a (two-dimensional) array or matrix
of dimension n x
p with the i'th row storing the above.
"
A.K.
--
Hi,
I have the very same problem of this here
http://grokbase.com/t/r/r-help/111d386yn9/r-standard-errors-in-johansen-test,
I replicated all the steps in the Papar:
http://cran.r-project.org/web/packages/vars/vignettes/vars.pdf
untill here:
R> vecm <- ca.jo(Canada[, c("rw", "prod", "e", "U")],
Dear colleagues,
I have a data from a repeated measures design that I'm analysing through a
mixed model. Nine independent sampling units (flasks with culture medium
with algae) were randomly divided into 3 groups ("c", "t1", "t2"). There is
no need for inclusion of the random effect of the interce
What I had in mind was a tensor multiplication.
I think, using tensor arithmetic for multidimensional arrays looks
more compacts
and efficient (~ 2-3 times). I am guessing that performance will be much more
pronounced for n-D arrays (n>3).
# Component Wise
set.seed(14)
Z<-array(sample(1:100,8
Hi,R 2.15.2 plm() function on Windows 7
when i perform a plm regression, i can't manage to obtain the intercept, but I
need it.it gives me just the beta coefficient.
my formula: fixed <- plm(deltaS ~ L1.deltaS + L2.deltaS, data=Mody_R,
index=c("country_id", "date"), model="within")
my output: Co
Hi, Ivo,
At Fri, 28 Dec 2012 16:34:03 -0800,
ivo welch wrote:
> so, it isn't obvious to me how I get to the try-error object
> list, or how to find out what triggered the abort.
A try object is an object that captures the execution context at the
time of an error. Consider the following code:
Hi Everyone:
I am running NONMEM from R using following command.
shell("nmfe72 TOT_EST_DOSE2.CTL DOSE2.OUT",wait=T)
This command runs NONMEM successfully but does not show the progress.
Usually, intermediate outputs are displayed on CMD console when this same
command is run fr
HI Greg,
Sorry, I misunderstand your question.
I am not sure whether it works with numSummary() from library(Rcmdr).
You could use other ways, such as:
test<-read.table(text="
id year incidents
100 1 0
101 1 1
102 1 21
100 1 27
101 1 3
102
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